JRF: Joint Random Forest (JRF) for the Simultaneous Estimation of Multiple Related Networks

Simultaneous estimation of multiple related networks.

Author
Francesca Petralia Developer [aut, cre], Pei Wang Developer [aut], Zhidong Tu Developer [aut], Won-min Song Developer [aut], Adele Cutler Developer [ctb], Leo Breiman Developer [ctb], Andy Liaw Developer [ctb], Matthew Wiener Developer [ctb]
Date of publication
2016-10-25 20:31:57
Maintainer
Francesca Petralia Developer <francesca.petralia@mssm.edu>
License
GPL (>= 2)
Version
0.1-4
URLs

View on CRAN

Man pages

JRF
Joint Random Forest for the simultaneous estimation of...
JRF_network
Compute FDR of importance scores and return class-specific...
JRF_permutation
Derive importance scores for permuted data.
Run_permutation
Derive importance scores for M permuted data sets.

Files in this package

JRF
JRF/src
JRF/src/rf.h
JRF/src/regTree.c
JRF/src/regrf.c
JRF/NAMESPACE
JRF/R
JRF/R/JRF_network.R
JRF/R/JRF_permutation.R
JRF/R/JRF.R
JRF/R/Run_permutation.R
JRF/MD5
JRF/DESCRIPTION
JRF/man
JRF/man/JRF_permutation.Rd
JRF/man/JRF.Rd
JRF/man/Run_permutation.Rd
JRF/man/JRF_network.Rd